Learnings from working on early stage humanoids - human robot interaction

Posting Text / Caption

In this article, we explore the challenges and opportunities of developing humanoids and the intricacies when designing the interaction with humans. While companies focus on features rather than purpose, certain robotics challenges - especially those related to intelligence factors (contextual understanding) and mechanical factors (human dexterity) - remain work in progress.

Ethical considerations, data privacy, and workforce disruptions are key concerns. The integration of humanoids is reshaping industries, raising questions not only about their physical appearance but also about their impact on jobs and employment dynamics.

Despite these challenges, we are witnessing one of the most transformative shifts in decades - paving the way for groundbreaking innovations in robotics, human-machine collaboration, and industry evolution. The future holds immense potential.

Join the conversation by sharing your thoughts in the comments!

#HumanoidRobots #AI #Robotics #FutureOfWork #Automation #HumanMachineInteraction #Innovation #TechTrends #zigzag #UXUI #Digital #Design #Studio #Technology

cover

Article

#@ Learnings From Working on Early Stage Humanoids - Human Robot Interaction

In late September of 2024, we were tasked with developing best-in-class UX/UI principles for humanoid robots, transforming complex systems into intuitive experiences, and exploring how humans might accept these technologies.


Natural Skeptics as We Are

We had our prejudices, so naturally we asked: Why humanoids though? Not that humanoids were not popping up left and right but after a lot of digging and back and forth, we realized that leading tech giants and venture funds are betting big on key humanoid startups. We understood early that probably the robotics industry is here to stay and grow.

  1. It is one of the natural next steps to drive innovation and to create new application levels, combining all individual technological pillars, we have seen so far - as robotics combines everything.
  2. But to do so, it requires investment. Thus the companies need to show they can scale up and have a clear purpose to attract major backers.
  3. And so, finally, humanoids are gaining traction because they fit right into our existing world - from offices to factories - with minimal changes needed. Or at least, that’s the assumption we’re making for now.

“Cars, drones, and humanoid robots can scale to high volumes since they work in our existing infrastructure. The highest volume one, of course, is humanoid robots, because we created the world for ourselves.”

— Jen-Hsun "Jensen" Huang (CEO of NVIDIA) at the DealBook Summit in November 2023.

Nvidia Groot Model

How the GR00T model enables humanoids to learn and make decisions. Source: Nvidia.

For a moment, we thought: Isn't this the same as autonomous driving? We tried to solve the mixed-traffic problem, making them fit into our world - yet here we are, still struggling.

We see humanoids as the physical manifestation of AI — or as the term was coined, "embodied AI".

The challenges are vast but the opportunities and new use cases are also enormous

Challenge Accepted

What an incredible chance we had to help shape how humans will interact with humanoid robots! Our whole team was buzzing with enthusiasm as we jumped into this exciting journey.

Our Research and Our Insights - The Early Days

We explored interaction expectations, use-case scenarios, and took into account academic perspectives to inform our design decisions. By analyzing industry's focus areas and identifying gaps in user experience within the humanoid context, we established some foundations for meaningful human-robot interactions and future steps.

What we found out:

  1. Companies prioritize features (such as specifications, staged demos, walking speed, operating time, and maximum lifting weight) over purpose, as finding real-world use cases and market fit remains challenging for these new product categories.
  2. No company or organization shows how to solve the human acceptance problem, how humanoid robots would fit into our world, what kind of use cases make sense.
  3. Some robotics challenges remain unsolved or are in development (mostly human dexterity related), with varying progress across companies. Most focus on core capabilities before adding advanced features.
  4. Design approaches differ between human-like robots and task-specific machines, with adoption depending on use case.
  5. Key concerns include job displacement, ethical considerations, and data privacy. Academic discussions are ongoing, but frameworks for human-robot interaction remain undefined.

Perception and Acceptance: A Natural Focus for Emerging Technology

The perception of humanoids is a complex issue centered on two key areas: their potential impact on industrial job displacement and their physical appearance. The latter creates an inherent tension between human and non-human qualities.

As academia continues to focus on traditional discussions like the uncanny valley phenomenon, it often overlooks the practical implications of these technologies.

This phenomenon means the creepy feeling people get when something looks almost human but not quite right.

The term, introduced by the Japanese researcher Masahiro Mori in 1970, describes how near-human robots or computer-generated characters can cause discomfort due to their imperfections.

However, as Siniz Kim, Partner and Founder at zigzag, points out

“it’s time to get away from a one-dimensional understanding of ‘uncanny valley.’ Key considerations include safety, multi-modality, role adaptability, and intelligence.”

These factors highlight the broader challenges and opportunities that come with humanoid robots.

Defining Axes

Broader areas of consideration

The uncanny valley goes beyond just reactions to human-like appearance - it involves behavior, context, and emotional factors working together. Rather than responding to isolated features, people react to the complete experience. Building familiarity over time helps overcome initial discomfort.

Moving Axes


Florian Dusch, Partner and Founder at zigzag, highlights the importance of a broader perspective, stating that “although many affordances depend on the humanoid's specific role, we ultimately developed key design principles for humanoid interactions, role agnostic:

  1. Human acceptance is paramount
  2. Actions should be transparent and traceable
  3. Behavior should be predictable and consistent
  4. Interactions should be elegantly personalized
  5. Ethical integrity should be at the very core
  6. Privacy should be respected and safeguarded."

These principles emphasize the need for thoughtful design to ensure humanoid robots are both functional and socially accepted. Our principles have helped us with decision-making by aiding to align across multiple disciplines and stakeholders involved and acted as a barometer, enabling scalability, and preserving insights that would future-proof the efforts.

During tenuous hours and weeks spent on concept development and prototyping human-robot interactions - aiming to inform our design decisions - we realized that while there are many fascinating design challenges to tackle, addressing them individually requires careful consideration, and isolating them is difficult.

One recurring observation is that many elements come into play: sound effects, motion, size, shapes, lights, and new smart materials - all orchestrated by intelligent systems.

Beyond making robots work and achieve human-like dexterity, we believe there need to be effective ways to understand and design these interactions and experiences in the real world and beyond academia.

We Want to Keep Learning and Help Define the Field

What are your thoughts on this? Our explorations have revealed numerous exciting opportunities we could pursue together - always keeping your business needs in mind and staying grounded in realistic possibilities. If there's interest, we'll share our initial high-level learnings in upcoming posts.